code: def setUp(self):
      test_dir = os.path.dirname(__file__)
      # project_test_dir = BigDL/python/nano
      project_test_dir = os.path.abspath(
          os.path.join(test_dir, "..", "..", "..", "..", "..")
      )
      os.environ["PYTHONPATH"] = project_test_dir
  
imports: import os
  import platform
  import pytest
  from unittest import TestCase
  import torch
  import torchmetrics
  from torch.utils.data import DataLoader, TensorDataset
  from torch import nn
  from bigdl.nano.pytorch.lightning import LightningModule
  from bigdl.nano.pytorch import Trainer
  from test.pytorch.utils._train_torch_lightning import create_data_loader, data_transform
  from test.pytorch.utils._train_torch_lightning import create_test_data_loader
  from test.pytorch.tests.train.trainer.test_lightning import ResNet18
  from bigdl.nano.utils.common import compare_version
  import operator
  import copy
label_desc: Use image node_id 1 for calling the TestPlugin obj's underlying member method code with example usage: obj.setUp() without return types